403 Open source projects that are alternatives of or similar to Cutorch

a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

Lightweight Cuda Renderer with Python Wrapper.

GPU PyTorch TOP in TouchDesigner with CUDA-enabled OpenCV

Let's jump into CUDA development with Rust

CUDA Voxelizer to convert polygon meshes into annotated voxel grids

GPU Raytracer from scratch in C++/CUDA

Implementation of Cuda to OpenGL rendering

BriefMatch real-time GPU optical flow

This is a list of useful libraries and resources for CUDA development.

Several simple examples for popular neural network toolkits calling custom CUDA operators.

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

This repository consists for gpu bootcamp material for HPC and AI

A collection of GICP-based fast point cloud registration algorithms

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

An open-source solver tool for the Maxwell-Bloch equations.

No description or website provided.

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Lightning fast & tiny C++/CUDA neural network framework

Clustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Simple 2d finite volume solver for Euler equations using c++ kokkos library

Simple tool to calculate sha256 on GPU using Cuda

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

Your 🔵 Superintelligence

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch

software.intel.com/content/www/us/en/develop/articles/repo-evaluating-performance-productivity-oneapi.html

Sample codes for my CUDA programming book

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

an implementation of parallel linear BVH (LBVH) on GPU

Squeeze-and-Excitation Networks

Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper

My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.

Generate displacement fields with known volume changes

package cu provides an idiomatic interface to the CUDA Driver API.

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

A CUDNN minimal deep learning training code sample using LeNet.

An efficient C++17 GPU numerical computing library with Python-like syntax

CUDA-accelerated GIS and spatiotemporal algorithms

Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.

a reimplementation of Holistically-Nested Edge Detection in PyTorch

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

Modified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers

Unsupervised Learning of Video Representations using LSTMs

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

Image-processing software for cryo-electron microscopy

Instant neural graphics primitives: lightning fast NeRF and more

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

Lane depertaure and Yolo objection detection C++ Linux

Haste: a fast, simple, and open RNN library

A fast Clojure Tensor & Deep Learning library

GitHub Action to install CUDA

A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).

The C++ parallel algorithms library.

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

A Curious Cumulation of CUDA Cuisine

A cross-platform CUDA/C++14 starter project with google test and google benchmark support.

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision